slplab/whisper-large_v2-asd_v1

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whisper-largev2-asdv1

This model is a fine-tuned version of openai/whisper-large-v2 on slplab/asd_apac dataset. It achieves the following results on the validation set:

• —Loss: 0.8553
• —Wer: 78.4722

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 1e-05
• —trainbatchsize: 16
• —evalbatchsize: 32
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 128
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —training_steps: 1000

Training results

Test results

• —Loss: 0.6359
• —Wer: 36.6876

Framework versions

• —Transformers 4.31.0.dev0
• —Pytorch 2.0.1+cu117
• —Datasets 2.13.1
• —Tokenizers 0.13.3